// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#pragma once

#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/device_context.h"
#include "paddle/phi/core/selected_rows.h"

namespace phi {

template <typename T, typename Context>
void LookupTableGradCUDAKernel(const Context& dev_ctx,
                               const DenseTensor& w,
                               const DenseTensor& ids_in,
                               const DenseTensor& out_grad,
                               bool is_sparse,
                               bool is_distributed,
                               int64_t padding_idx,
                               bool remote_prefetch,
                               const std::string& entry_config,
                               bool is_test,
                               const std::string& entry,
                               const std::string& table_class,
                               const std::vector<std::string>& table_names,
                               int trainer_id,
                               bool grad_inplace,
                               const std::vector<std::string>& epmap,
                               const std::vector<int64_t>& height_sections,
                               DenseTensor* w_grad);

template <typename T, typename Context>
void LookupTableSparseGradCUDAKernel(
    const Context& dev_ctx,
    const DenseTensor& w,
    const DenseTensor& ids_in,
    const DenseTensor& out_grad,
    bool is_sparse,
    bool is_distributed,
    int64_t padding_idx,
    bool remote_prefetch,
    const std::string& entry_config,
    bool is_test,
    const std::string& entry,
    const std::string& table_class,
    const std::vector<std::string>& table_names,
    int trainer_id,
    bool grad_inplace,
    const std::vector<std::string>& epmap,
    const std::vector<int64_t>& height_sections,
    SelectedRows* w_grad);

}  // namespace phi
